clf;
D = load('expt2_results');
data = load('gp_data');
dim = size(D);
title ('For 3 classes; all hyps from same distribution; nfactor = 4');
xlabel ('Hyps mean');
ylabel (strcat(['Correct results out of ', int2str(size(data,1))]));

hold on;
errorbar(D(:,1), D(:,2), D(:,3), D(:,3));%, '-2;correct hyps;');
plot(D(:,1),D(:,2), '-2;correct hyps;');
hold on;
errorbar(D(:,1), D(:,4), D(:,5), D(:,5));%, '-3;averaged hyps;');
plot(D(:,1),D(:,4), '-3;averaged hyps;');

% yes I know line graphs are inappropriate here
% they're still easier to read
% or at least they are with no errorbars

% try a variant of
% errorbar (x, f(x), ym, yp);
% to get errors. More helpful-like

% NTS: colours are indexed rgbmcw